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Significance of Hemogram-derived Ratios for Predicting In-hospital Mortality in COVID-19: A Multicenter Study

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Journal Health Sci Rep
Specialty General Medicine
Date 2022 Jun 10
PMID 35686199
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Abstract

Background: To address the problem of resource limitation, biomarkers having a potential for mortality prediction are urgently required. This study was designed to evaluate whether hemogram-derived ratios could predict in-hospital deaths in COVID-19 patients.

Materials And Methods: This multicenter retrospective study included hospitalized COVID-19 patients from four COVID-19 dedicated hospitals in Sylhet, Bangladesh. Data on clinical characteristics, laboratory parameters, and survival outcomes were analyzed. Logistic regression models were fitted to identify the predictors of in-hospital death.

Results: Out of 442 patients, 55 (12.44%) suffered in-hospital death. The proportion of male was higher in nonsurvivor group (61.8%). The mean age was higher in nonsurvivors (69 ± 13 vs. 59 ± 14 years,  < 0.001). Compared to survivors, nonsurvivors exhibited higher frequency of comorbidities, such as chronic kidney disease (34.5% vs. 15.2%, ≤ 0.001), chronic obstructive pulmonary disease (23.6% vs. 10.6%,  = 0.011), ischemic heart disease (41.8% vs. 19.4%,  < 0.001), and diabetes mellitus (76.4% vs. 61.8%,  = 0.05). Leukocytosis and lymphocytopenia were more prevalent in nonsurvivors ( < 0.05). Neutrophil-to-lymphocyte ratio (NLR), derived NLR (d-NLR), and neutrophil-to-platelet ratio (NPR) were significantly higher in nonsurvivors ( < 0.05). After adjusting for potential covariates, NLR (odds ratio [OR] 1.05; 95% confidence interval [CI] 1.009-1.08), d-NLR (OR 1.08; 95% CI 1.006-1.14), and NPR (OR 1.20; 95% CI 1.09-1.32) have been found to be significant predictors of mortality in hospitalized COVID-19 patients. The optimal cut-off points for NLR, d-NLR, and NPR for prediction of in-hospital mortality for COVID-19 patients were 7.57, 5.52 and 3.87, respectively.

Conclusion: Initial assessment of NLR, d-NLR, and NPR values at hospital admission is of good prognostic value for predicting mortality of patients with COVID-19.

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References
1.
Haimovich A, Ravindra N, Stoytchev S, Young H, Wilson F, van Dijk D . Development and Validation of the Quick COVID-19 Severity Index: A Prognostic Tool for Early Clinical Decompensation. Ann Emerg Med. 2020; 76(4):442-453. PMC: 7373004. DOI: 10.1016/j.annemergmed.2020.07.022. View

2.
Liu Y, Du X, Chen J, Jin Y, Peng L, Wang H . Neutrophil-to-lymphocyte ratio as an independent risk factor for mortality in hospitalized patients with COVID-19. J Infect. 2020; 81(1):e6-e12. PMC: 7195072. DOI: 10.1016/j.jinf.2020.04.002. View

3.
Azab B, Zaher M, Weiserbs K, Torbey E, Lacossiere K, Gaddam S . Usefulness of neutrophil to lymphocyte ratio in predicting short- and long-term mortality after non-ST-elevation myocardial infarction. Am J Cardiol. 2010; 106(4):470-6. DOI: 10.1016/j.amjcard.2010.03.062. View

4.
Kiss S, Gede N, Hegyi P, Nemeth D, Foldi M, Dembrovszky F . Early changes in laboratory parameters are predictors of mortality and ICU admission in patients with COVID-19: a systematic review and meta-analysis. Med Microbiol Immunol. 2020; 210(1):33-47. PMC: 7679241. DOI: 10.1007/s00430-020-00696-w. View

5.
Yildiz H, Castanares-Zapatero D, Pierman G, Pothen L, De Greef J, Aboubakar Nana F . Validation of Neutrophil-to-Lymphocyte Ratio Cut-off Value Associated with High In-Hospital Mortality in COVID-19 Patients. Int J Gen Med. 2021; 14:5111-5117. PMC: 8420786. DOI: 10.2147/IJGM.S326666. View